Request/response flow designed for low-latency evaluation. Source systems send metadata describing the user, model, use case, and data classification. Songlines Control returns deterministic approve, deny, flag, or redact decisions without taking ownership of the underlying payload.
Read-only connectors ingest telemetry from Azure Monitor, AWS CloudTrail, SAP BTP, and Salesforce Event Monitoring. The reconciliation engine correlates platform-specific logs with policy decisions to create a unified governance record.
Configure fail-open or fail-closed behaviour by workload risk. Support for local caching, retry logic, and regional deployment. Strict data minimisation ensures prompt content is not required for every policy decision.
Specific patterns for the platforms that run your business.
Use Songlines Control as a pluggable Policy Decision Point alongside MuleSoft Anypoint Platform. MuleSoft continues to orchestrate enterprise traffic while Cetus AI evaluates AI-specific policy.
View MuleSoft Architecture →Native integration with Azure OpenAI, Azure Monitor, and Entra ID. Deploy Songlines Control directly from the Azure Marketplace into your own tenant.
View Deployment Options →Connect with Amazon Bedrock and ingest CloudTrail logs to produce unified evidence across multi-cloud AI deployments.
Ingest SAP BTP logs to correlate enterprise ERP activity with AI policy decisions for complete audit traceability.
Monitor AI interactions within the Salesforce ecosystem via Event Monitoring integration, linking CRM context to governance evidence.
Embed lightweight SDKs directly into your proprietary machine learning pipelines and internal models for consistent governance.
Book a technical session with our engineering team to identify what is already solved, what is duplicated, and where a genuine governance gap remains.
Book Architecture Review